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Schița de curs
Introducere
Prezentare generală a Data Mining Concepte
Tehnici Data Mining
Găsirea regulilor de asociere
Entități care se potrivesc
Analiza rețelelor
Analizarea sentimentului textului
Recunoașterea entităților numite
Implementarea rezumatului textului
Generarea de modele de subiecte
Detectarea anomaliilor de date
Cele mai bune practici
Rezumat și Concluzie
Cerințe
- O înțelegere a programării Python.
- O înțelegere a bibliotecilor în general Python.
Audiență
- Analiști de date
- Oameni de știință ai datelor
14 ore
Mărturii (5)
Faptul de a avea mai multe exerciții practice folosind date mai asemănătoare cu cele pe care le folosim în proiectele noastre (imagini satelitare în format raster)
Matthieu - CS Group
Curs - Scaling Data Analysis with Python and Dask
Tradus de catre o masina
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Curs - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Curs - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Curs - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
